Loyola College M.Sc. Statistics April 2006 Statistical Process Control Question Paper PDF Download

             LOYOLA COLLEGE (AUTONOMOUS), CHENNAI – 600 034

M.Sc. DEGREE EXAMINATION – STATISTICS

AC 48

FOURTH SEMESTER – APRIL 2006

                                           ST 4803 – STATISTICAL PROCESS CONTROL

 

 

Date & Time : 22-04-2006/9.00-12.00         Dept. No.                                                       Max. : 100 Marks

 

 

SECTION A  

Answer all the questions                                                                             10 x 2 = 20

  1. Discuss the statistical basis underlying the general use of 3 – sigma limits on control charts.
  2. Define rational subgroup concept.
  3. How is lack of control of a process determined by using control chart techniques?
  4. What is process capability ratio (PCR)?
  5. Why is the np chart not appropriate with variable sample size?
  6. Explain an attribute single sampling plan.
  7. What purpose does an OC curve serve?
  8. Define AOQ.
  9. Define a). Specification limit. b). Natural tolerance limit.
  10. Explain the concept of TQM.

SECTION B  

Answer any five questions                                                              5 x 8= 40

  1. What are the dimensions of quality? Explain.
  2. A quality characteristic is monitored by a control chart designed so that the probability that a certain out of control condition will be detected on the first sample following the shift to that is 1 – b. Find the following:

a). The probability that the out of control condition will be detected on the second sample following the shift.

b). The expected number of subgroups analyzed before the shift is detected.

  1. A control chart for the fraction non-conforming is to be established using a CL of p = 0.10. What sample size is required if we wish to detect a shift in the process fraction non-conforming to 0.20 with probability 0.50?
  2. Explain the method of constructing control limits for X – bar and R charts when the sample sizes are different for various subgroups.
  3. In designing a fraction non-conforming chart with CL at p =0.20 and 3-sigma control limits, what is the simple size required to yield a positive LCL? What is the value of n necessary to give a probability of .50 of detecting a shift in the process to 0.26?
  4. Estimate process capability using X – bar and R charts for the power supply voltage data . If specifications are at 350 + 5 V, calculate PCR, PCRk and PCRkm. Interpret these capability ratios.
Sample # 1 2 3 4 5 6 7 8 9 10
X1 6 10 7 8 9 12 16 7 9 15
X2 9 4 8 9 10 11 10 5 7 16
X3 10 6 10 6 7 10 8 10 8 10
X4 15 11 5 13 13 10 9 4 12 13
  1. Find a single sampling plan for which p1 = 0.05, a = 0.05 p2 = 0.15 and b = 0.10.
  2. What are chain sampling and skip-lot sampling plans?

 

SECTION C

Answer any two questions                                                                2 X 20 = 40

 

  1. a) Distinguish between c and u charts. Explain the situations where c and u charts are applicable and are the limits obtained for these charts.
  2. b) Find 0.900 and 0.100 probability limits for a c-chart when the process average is equal to 16 non- conformities.                                                                                              (14+6)
  3. a) Write a detailed note on the moving average control chart.
  4. b) What are modified control charts?. Explain the method of obtaining control limits for modified control charts.                                                                                                         (8+12)
  5. a) Outline the procedure of constructing V-mask.
  6. b) What is Exponentially Weighted Moving Average control chart?.           (15+5)
  7. a) Write a detailed note on six-sigma quality.
  8. b) Explain with an illustration the method of obtaining the probability of acceptance for a triple sampling plan.                                                                                                               (10 + 10)

 

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